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    Investigating unsteady airflow characteristics in the human upper airway based on the clinical inspiration data.
        
        Phys. Fluids 35:101911 (2023)
    
    
    
	    To enhance understanding of the airflow characteristics in the human respiratory system during realistic inspiration, we investigated the airflow field in a human upper airway model using large eddy simulation and the dynamic grid method, taking into account clinically measured inspiratory characteristics. The results reveal the following novel findings: (1) The laryngeal jet and recirculation zone exhibit significant unsteadiness, with their dynamic characteristics primarily influenced by the transient inspiration flow rate and glottis motion. This pattern holds true for other airflow characteristics as well. (2) Glottis expansion reduces the energy consumed during inhalation for both steady and unsteady inspiratory flow rates, with the degree of expansion being directly related to the reduction in energy. We can accurately predict power loss by considering the glottis area and inspiratory flow rate. (3) Analysis of spectral entropy clearly demonstrates that the flow transitions from the laminar to turbulence earlier when using clinical inspiration data. Turbulence intensity in the trachea increases when either glottis motion or the transient inspiratory is ignored. In conclusion, the airflow dynamics are significantly more unsteady compared to cases where we ignore either glottis motion or the transient inspiratory flow rate. A precise understanding of realistic respiratory airflow cannot be achieved by assuming either a rigid glottis or a steady inspiration pattern. Therefore, it is crucial to use accurate inspiratory data when studying the properties of airflow structures in the human respiratory system. Moreover, incorporating more physiological data is also essential to obtain realistic respiratory airflow characteristics.
	
	
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        Publication type
        Article: Journal article
    
 
    
        Document type
        Scientific Article
    
 
     
    
    
        Keywords
        Particle Deposition; Pollution
    
 
     
    
    
        Language
        english
    
 
    
        Publication Year
        2023
    
 
     
    
        HGF-reported in Year
        2023
    
 
    
    
        ISSN (print) / ISBN
        1070-6631
    
 
    
        e-ISSN
        1089-7666
    
 
    
     
     
	     
	 
	 
    
        Journal
        Physics of Fluids
    
 
	
    
        Quellenangaben
        
	    Volume: 35,  
	    Issue: 10,  
	    
	    Article Number: 101911 
	    
	
    
 
    
         
        
            Publisher
            American Institute of Physics (AIP)
        
 
        
            Publishing Place
            1305 Walt Whitman Rd, Ste 300, Melville, Ny 11747-4501 Usa
        
 
	
         
         
         
         
         
	
         
         
         
    
         
         
         
         
         
         
         
    
        Reviewing status
        Peer reviewed
    
 
    
        Institute(s)
        Institute of Computational Biology (ICB)
    
 
    
        POF-Topic(s)
        30205 - Bioengineering and Digital Health
    
 
    
        Research field(s)
        Enabling and Novel Technologies
    
 
    
        PSP Element(s)
        G-554700-001
    
 
    
        Grants
        Natural Science Foundation of China
The authors acknowledge the support of Natural Science Foundation of China (Grant No. 12172146).
 
     	
    
    The authors acknowledge the support of Natural Science Foundation of China (Grant No. 12172146).
        WOS ID
        001104461900004
    
    
        Scopus ID
        85175256785
    
    
        Erfassungsdatum
        2023-12-12